Physics with Artificial Intelligence
Keele University
UCAS Code: F3G4 | Bachelor of Science (with Honours) - BSc (Hons)
Keele University
UCAS Code: F3G4 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
ABB in three A Levels including B in Maths or Physics
Access to HE Diploma
128 UCAS points in an Access to HE Diploma with Maths related content, including Distinction in at least 30 Level 3 credits. Please contact the University Admissions Team for advice on whether your chosen course would qualify.
GCSE/National 4/National 5
You will also need: 6 / B in GCSE Maths or Level 2 Functional Skills Maths, plus an English language qualification
International Baccalaureate Diploma Programme
655 in three Higher Levels including 5 in Maths or Physics, OR 32 points including 5 in Higher Level Maths or Physics
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
DDM in any of the following BTEC Extended Diplomas / National Extended Diplomas: Engineering
T Level
Distinction in any of the following T Levels: Engineering and Manufacturing
UCAS Tariff
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
.Physics with Artificial Intelligence at Keele puts you at the cutting edge of technology, where science meets innovation. From learning core physics and computer science concepts to exploring the dynamic world of machine learning, you will gain the knowledge and techniques to create innovative solutions for real-world challenges. From analytical thinking and advanced problem-solving to programming, you will graduate with a toolkit of skills that are in high demand across a wide variety of industries including finance, healthcare and engineering.
**Why choose this course?**
- Tackle physical problems and real-world challenges using machine learning and artificial intelligence
- Engage in hands-on learning through interactive workshops, collaborative group activities, and immersive laboratory experiences
- Gain the problem-solving, experimental, programming and teamworking skills that are highly valued by employers in a broad range of sectors
- Learn in a supportive environment with innovative learning materials and plenty of tutor support
- Undertake a research project and professional development activities in preparation for academic research and industry roles
Discover how physics and artificial intelligence are deeply interconnected on our Physics with Artificial Intelligence BSc. Just as physicists develop mathematical models to describe and predict natural phenomena, AI uses similar computational techniques to learn from and interpret vast datasets. This symbiotic relationship means that advances in one field often directly inform and accelerate progress in the other.
In your first two years of study, you will build a solid foundation in core physics concepts including gravitation, relativity and quantum physics, while strengthening your computational and problem-solving skills. This will enable you to tackle complex problems that require a deep understanding of physical principles and advanced data analysis techniques.
Building on these skills, you will learn the latest methods and research directions in AI, including data science techniques, machine learning applications and computational intelligence. You will then apply these skills and techniques to solve advanced physics problems.
Designed to provide you with the specialist skills you will need as a professional, modern physicist, you will benefit from a suite of practical and professional development modules embedded throughout our curriculum. From scientific programming and writing to dedicated career-focused sessions, we will provide you with the knowledge, tools and connections to develop a strong foundation for your future career.
**About Keele**
Keele University was established in 1949 by the former Vice-Chancellor of Oxford University. Founded to meet the needs of a changing world, Keele has always had a pioneering vision to be a different kind of university.
We excel in both teaching and research, with some of the most satisfied students in England, and research that is changing lives for the better at a regional, national and global level.
Our beautiful 600-acre campus is one of the biggest in Britain – but all the most important services and facilities are on your doorstep, with accommodation, teaching spaces, facilities including a medical centre, sports centre and pharmacy, and a range of shops, eateries and entertainment venues – including the Students’ Union – clustered around the centre.
Modules
For information regarding modules for this course, please visit the course page on the Keele University website.
The Uni
Keele University
School of Computing and Mathematics
What students say
We've crunched the numbers to see if the overall teaching satisfaction score here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Physics
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Artificial intelligence
Sorry, no information to show
This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Physics
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Although the subject has seen a bit of resurgence in recent years, the UK is still felt to be short of physics graduates, and in particular physicists training as teachers. If you want a career in physics research — in all sorts of areas, from atmospheric physics to lasers - you'll probably need to take a doctorate, and so have a think about where you would like to do that and how you might fund it (the government funds many physics doctorates, so you might not find it as hard as you think). With that in mind, it's not surprising that just over a fifth of physics graduates go on to take doctorates when they finish their degree, and well over a third of physicists take some kind of postgraduate study in total. Physics is highly regarded and surprisingly versatile, which is why physics graduates who decide not to stay in education are more likely to go into well-paid jobs in the finance industry than they are to go into science. The demand and versatility of physics degrees goes to explain why they're amongst the best-paid science graduates.
Artificial intelligence
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Artificial intelligence is a very specialist subject taken by less than 100 people a year at the moment, so there is little reliable information available on graduate prospects - bear that in mind when you review the stats above. Graduates taking this type of subject are more likely than other computing graduates to go into further research. However, if you want to find out more specifically about the potential graduate outcomes of a specific course, it's a good idea to go on open days and talk to tutors about what previous graduates have gone on to do.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Physics
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£29k
£31k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
Artificial intelligence
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£21k
£34k
£32k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Higher entry requirements
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Teaching Excellence Framework (TEF):
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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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